DocumentCode :
40197
Title :
A Fuzzy-Rule-Based Approach for Single Frame Super Resolution
Author :
Purkait, P. ; Pal, Nikhil R. ; Chanda, Bhabatosh
Author_Institution :
Sch. of Comput. Sci., Univ. of Adelaide, Adelaide, SA, Australia
Volume :
23
Issue :
5
fYear :
2014
fDate :
May-14
Firstpage :
2277
Lastpage :
2290
Abstract :
In this paper, a novel fuzzy rule-based prediction framework is developed for high-quality image zooming. In classical interpolation-based image zooming, resolution is increased by inserting pixels using certain interpolation techniques. Here, we propose a patch-based image zooming technique, where each low-resolution (LR) image patch is replaced by an estimated high-resolution (HR) patch. Since an LR patch can be generated from any of the many possible HR patches, it would be natural to develop rules to find different possible HR patches and then to combine them according to rule strength to get the estimated HR patch. Here, we generate a large number of LR-HR patch pairs from a collection of natural images, group them into different clusters, and then generate a fuzzy rule for each of these clusters. The rule parameters are also learned from these LR-HR patch pairs. As a result, an efficient mapping from LR patch space to HR patch space can be formulated. The performance of the proposed method is tested on different images, and is also compared with other representative as well as state-of-the-art image zooming techniques. Experimental results show that the proposed method is better than the competing methods and is capable of reconstructing thin lines, edges, fine details, and textures in the image efficiently.
Keywords :
fuzzy systems; image reconstruction; image resolution; image texture; knowledge based systems; edge reconstruction; fine detail reconstruction; fuzzy rule; high quality image zooming; image reconstruction; patch based image zooming technique; prediction framework; rule parameter; rule strength; single frame superresolution; texture reconstruction; thin line reconstruction; Dictionaries; Image edge detection; Image reconstruction; Image resolution; Interpolation; Training; Vectors; Gaussian mixture model; LR-HR patch pairs; Super resolution; Takagi-Sugeno model; fuzzy rules; image zooming;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2014.2312289
Filename :
6774881
Link To Document :
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